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1 Ergebnisse
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Deep learning approaches for bone and bone lesion segmentat..:
Moreau, Noémie
;
Rousseau, Caroline
;
Fourcade, Constance
...
info:eu-repo/semantics/altIdentifier/doi/10.1109/EMBC44109.2020.9175904. , 2020
Link:
https://hal.science/hal-02591573
RT Journal T1 <Title>Deep learning approaches for bone and bone lesion segmentation on 18 FDG PET/CT imaging in the context of metastatic breast cancer*</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftinserm:oai:HAL:hal-02591573v1&Exemplar=1&LAN=DE A1 Moreau, Noémie A1 Rousseau, Caroline A1 Fourcade, Constance A1 Santini, Gianmarco A1 Ferrer, Ludovic A1 Lacombe, Marie A1 Guillerminet, Camille A1 Campone, Mario A1 Colombié, Mathilde A1 Rubeaux, Mathieu A1 Normand, Nicolas PB HAL CCSD YR 2020 K1 [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] K1 [INFO.INFO-IM]Computer Science [cs]/Medical Imaging JF info:eu-repo/semantics/altIdentifier/doi/10.1109/EMBC44109.2020.9175904 LK http://dx.doi.org/https://hal.science/hal-02591573 DO https://hal.science/hal-02591573 SF ELIB - SuUB Bremen
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